CN106921710B - Crowd sensing method and device - Google Patents
Crowd sensing method and device Download PDFInfo
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- CN106921710B CN106921710B CN201510998184.XA CN201510998184A CN106921710B CN 106921710 B CN106921710 B CN 106921710B CN 201510998184 A CN201510998184 A CN 201510998184A CN 106921710 B CN106921710 B CN 106921710B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L65/40—Support for services or applications
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- H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract
The invention discloses a group intelligent sensing method and device. The method comprises the following steps: the method comprises the steps that a cloud platform sends a data acquisition request message to a first terminal, wherein the data acquisition request message is used for requesting data acquisition; the cloud platform acquires data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, and all the nodes comprise nodes which are determined according to original tasks of the cloud platform and used for acquiring data. The terminal is prevented from acquiring data and sending the equipment information and the current position information of the terminal to the cloud platform, so that the personal information of the terminal is prevented from being revealed, and the safety of the terminal is improved.
Description
Technical Field
The present invention relates to communication technologies, and in particular, to a method and an apparatus for crowd sensing.
Background
With the development of the internet of things and the gradual popularization of wireless communication, sensor technology and wireless mobile terminal equipment, crowd sensing begins to be widely applied.
In the prior art, a process of implementing crowd sensing includes collecting a large amount of data, such as noise data in a city, air quality data, street parking monitoring data in the city, and the like, through a large number of terminals, that is, sensing units, then, sending data information to a cloud platform by a mobile terminal, where the data information includes data collected by the mobile terminal and path information of the data collected by the mobile terminal, and then, analyzing by a cloud platform server according to the data information sent by the mobile terminal, thereby completing a large-scale and complex sensing task.
However, in the prior art, the inventor finds that the terminal needs to send the device information and the current location information of the mobile terminal to the cloud platform while sending the collected data to the cloud platform, so that personal information of the mobile terminal may be leaked.
Disclosure of Invention
In order to solve the technical problem, the invention provides a crowd sensing method and system, which are used for solving the problem of low working efficiency of controlling a video conference.
In order to achieve the purpose of the invention, the invention provides a crowd sensing method, which comprises the following steps:
the method comprises the steps that a cloud platform sends a data acquisition request message to a first terminal, wherein the data acquisition request message is used for requesting data acquisition;
the cloud platform acquires data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, all the nodes comprise nodes which are determined according to original tasks of the cloud platform and are used for acquiring data, and the tail nodes comprise the last node which is determined according to the original tasks of the cloud platform and is used for acquiring data.
Further, before the cloud platform sends the data acquisition request message to the first terminal, the method further includes:
the cloud platform sends first task information to each terminal, wherein the first task information comprises information of an original task which is requested by the cloud platform to be prepared to be executed by the terminal, the original task is used for data acquisition of the terminal, the original task at least comprises a first data acquisition area, a first data acquisition quantity and first data acquisition time, and each terminal comprises a terminal which is registered on the cloud platform;
the cloud platform acquires first task response information sent by each terminal, wherein the first task response information comprises a first contribution degree of the terminal to the original task, and the first contribution degree comprises information determined by the terminal according to the first task information, the equipment perception capability of the terminal and an action plan of the terminal;
and the cloud platform determines a first terminal corresponding to the maximum first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task.
Further, after the cloud platform determines, according to the first contribution degree, that the first terminal corresponding to the maximum first contribution degree is the first node, the method further includes:
the cloud platform sends first node notification information to each terminal, wherein the first node notification information comprises information that the first terminal is a first node.
Further, after the cloud platform sends the first node notification information to each of the terminals, the method further includes:
the cloud platform acquires N task response information sent by each residual terminal, wherein the N task response information comprises N contribution degrees of each residual terminal to the N residual task, the N contribution degrees comprise the terminals determined by the residual terminals according to the N residual task information, the equipment perception capability of the residual terminals and the action plans of the residual terminals, the residual terminals comprise the first nodes which are registered on the cloud platform and the terminals which sequentially reach the (N-1) th node, the N residual task comprises the residual tasks which are processed by the first nodes and the (N-1) th node sequentially, and N is an integer greater than 1;
the cloud platform determines an Nth terminal corresponding to the largest Nth contribution degree as an Nth node according to the Nth contribution degrees, wherein the Nth node comprises an Nth terminal node for executing the original task;
and the cloud platform sends Nth node informing information to the remaining terminals, wherein the Nth node informing information comprises information that the Nth terminal is the Nth node.
Further, after the cloud platform sends the data acquisition request message to the first terminal, the method further includes:
the cloud platform determines that the Mth terminal cannot report data to the cloud platform, the data comprises data collected according to the original task, and M is an integer smaller than N;
the cloud platform sends skip sampling information to the (M-1) th terminal so that the (M-1) th terminal informs the (M +1) th terminal of performing data acquisition according to the (M-1) th remaining task sent by the (M-1) th terminal, wherein the (M-1) th remaining task comprises the first terminal and the remaining tasks after the (M-1) th terminal processes the original task.
The invention provides a crowd sensing method, which comprises the following steps:
a terminal acquires a data acquisition request message, wherein the data acquisition request message is used for requesting a data acquisition message;
the terminal sends a data acquisition request response message to the cloud platform, the data acquisition request response message sequentially comprises data information acquired by the terminal of each node, each node comprises a node which is determined according to an original task of the cloud platform and is used for acquiring data, the terminal comprises a terminal at a tail node, and the tail node comprises a last node which is determined according to the original task of the cloud platform and is used for acquiring data.
Further, before the terminal acquires the data acquisition request message, the method further includes:
the terminal receives first node notification information sent by the cloud platform, wherein the first node notification information comprises information that the first terminal is a first node.
Further, after the terminal receives the first node notification information sent by the cloud platform, the method further includes:
the terminal sends Nth task response information to the cloud platform, the Nth task response information comprises the Nth contribution degree of each residual terminal to the Nth residual task, the Nth contribution degree comprises the N contribution degree of the residual terminal determined according to the Nth residual task information, the equipment perception capability of the residual terminal and the action plan of the residual terminal, the residual terminal comprises the first terminal and the terminal which sequentially reaches the (N-1) th terminal which are registered on the cloud platform, the Nth residual task comprises the residual task which passes through the first terminal and sequentially reaches the (N-1) th terminal after the original task is processed by the (N-1) th terminal, and N is an integer greater than 1;
the terminal receives Nth node notification information sent by the cloud platform, wherein the Nth node notification information comprises information that the Nth terminal is the Nth node.
The invention provides a crowd sensing device, comprising:
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for sending a data acquisition request message to a first terminal, and the data acquisition request message is used for requesting data acquisition;
the acquisition module is used for acquiring data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, all the nodes comprise nodes which are determined according to original tasks of the cloud platform and are used for acquiring data, and the tail nodes comprise the last node which is determined according to the original tasks of the cloud platform and is used for acquiring data.
Further, the method also comprises the following steps: a determination module;
the sending module is further configured to send first task information to each terminal, where the first task information includes information of an original task that the cloud platform requests the terminal to prepare for execution, the original task is used for the terminal to perform data acquisition, the original task at least includes a first data acquisition area, a first data acquisition number, and first data acquisition time, and each terminal includes a terminal registered on the cloud platform;
the obtaining module is further configured to obtain first task response information sent by each terminal, where the first task response information includes a first contribution degree of the terminal to the original task, and the first contribution degree includes a value determined by the terminal according to the first task information, a device sensing capability of the terminal, and an action plan of the terminal;
the determining module is configured to determine, according to each first contribution degree, that a first terminal corresponding to the largest first contribution degree is a first node, where the first node includes a first terminal node that executes the original task.
Further, the sending module is further configured to send first node notification information to each of the terminals, where the first node notification information includes information that the first terminal is a first node.
Further, the obtaining module is further configured to obtain nth task response information sent by each remaining terminal, where the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, the nth contribution degree includes that the remaining terminal determines according to nth remaining task information, device sensing capabilities of the remaining terminals, and action plans of the remaining terminals, the remaining terminals include terminals that are registered on the cloud platform except the first node and sequentially reach the (N-1) th node, the nth remaining task includes a remaining task that is processed by the first node and sequentially reach the (N-1) th node with respect to the original task, and N is an integer greater than 1;
the determining module is further configured to determine, according to each nth contribution degree, an nth terminal corresponding to the nth contribution degree which is the largest as an nth node, where the nth node includes an nth terminal node for executing the original task;
the sending module is further configured to send nth node notification information to the remaining terminals, where the nth node notification information includes information that the nth terminal is an nth node.
Further, the determining module is further configured to determine that the mth terminal cannot report data to the cloud platform, where the data includes data acquired according to the original task, and M is an integer smaller than N;
the sending module is further configured to send skip sampling information to the (M-1) th terminal, so that the (M-1) th terminal notifies the (M +1) th terminal to perform data acquisition according to the (M-1) th remaining task sent by the (M-1) th terminal, where the (M-1) th remaining task includes a remaining task after the (M-1) th terminal processes the original task, and the first terminal passes through the remaining task.
The invention provides a crowd sensing device, comprising:
the acquisition module is used for acquiring a data acquisition request message, wherein the data acquisition request message is used for requesting a data acquisition message;
the sending module is used for sending a data acquisition request response message to the cloud platform, the data acquisition request response message sequentially comprises data information acquired by terminals of all nodes, each node comprises a node which is determined according to an original task of the cloud platform and is used for acquiring data, each terminal comprises a terminal at a tail node, and each tail node comprises a last node which is determined according to the original task of the cloud platform and is used for acquiring data.
Further, the obtaining module is further configured to receive first node notification information sent by the cloud platform, where the first node notification information includes information that the first terminal is a first node.
Further, the sending module is further configured to send nth task response information to the cloud platform, where the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, the nth contribution degree includes that the remaining terminals determine according to nth remaining task information, device sensing capabilities of the remaining terminals, and action plans of the remaining terminals, the remaining terminals include terminals that have been registered on the cloud platform except the first terminal and sequentially reach the (N-1) th terminal, the nth remaining task includes a remaining task that passes through the first terminal and sequentially reaches the (N-1) th terminal after the original task is processed by the (N-1) th terminal, and N is an integer greater than 1;
the acquisition module is further configured to receive nth node notification information sent by the cloud platform, where the nth node notification information includes information that the nth terminal is an nth node.
Compared with the prior art, the method comprises the steps that a cloud platform sends a data acquisition request message to a first terminal, wherein the data acquisition request message is used for requesting data acquisition; the cloud platform acquires data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, and all the nodes comprise nodes which are determined according to original tasks of the cloud platform and used for acquiring data. When the terminal collects data, the equipment information and the current position information of the terminal are not sent to the cloud platform, so that the personal information of the terminal is prevented from being leaked, and the safety of the terminal is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a schematic flow chart of an embodiment of a crowd sensing method according to the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of the crowd sensing method of the present invention;
FIG. 3 is a schematic flow chart of a third embodiment of the crowd sensing method of the present invention;
FIG. 4 is a schematic flow chart of a fourth embodiment of the crowd sensing method of the present invention;
FIG. 5 is a schematic structural diagram of an embodiment of a crowd sensing device according to the present invention;
FIG. 6 is a schematic structural diagram of a crowd sensing apparatus according to a second embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a third embodiment of the crowd sensing apparatus according to the present invention;
FIG. 8 is a schematic diagram of a homepage of an embodiment of the crowd sensing device according to the present invention;
FIG. 9 is a message page diagram of an embodiment of the crowd sensing device of the present invention;
FIG. 10 is a diagram illustrating a task page according to an embodiment of the crowd sensing apparatus of the present invention;
FIG. 11 is a diagram illustrating a task page of a second embodiment of the crowd sensing device according to the present invention;
FIG. 12 is a data page of an embodiment of the crowd sensing device according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The crowd sensing method provided by the embodiment of the invention can be particularly applied to the data acquisition of the cloud platform through each terminal. The crowd sensing method provided by this embodiment may be specifically executed by a crowd sensing Device, and the crowd sensing Device may be integrated in a network conference server and a mobile terminal that are disposed in a cloud, or may be separately disposed, where the mobile terminal may be a computer, a tablet computer (PAD), or a mobile phone, and the crowd sensing Device may be implemented in a software and/or hardware manner. The crowd sensing method and apparatus provided by the present embodiment will be described in detail below.
Fig. 1 is a schematic flow chart of an embodiment of the crowd sensing method of the present invention, and as shown in fig. 1, the crowd sensing method provided by the present invention includes:
In this embodiment, the data collection request message is used to request a data collection message.
It should be noted that the first terminal may be a mobile terminal, which is not limited herein, and the mobile terminal may be a portable device, that is, a device capable of implementing internet access and sending data to the cloud platform on line.
The applicable scenarios of this embodiment include: the intelligent city collects traffic data, city emergency early warning, intelligent medical treatment and intelligent tourism.
And 102, the cloud platform acquires a data acquisition request response message sent by a terminal of the tail node.
In this embodiment, the data collection request response message sequentially includes a message of data collected by a terminal of each node, each node includes a node for collecting data determined according to an original task of the cloud platform, and the tail node includes a last node for collecting data determined according to the original task of the cloud platform.
For example, the process of determining the tail node includes: the cloud platform sends first task information to each terminal, wherein the first task information comprises information of an original task which is requested by the cloud platform to be prepared to be executed by the terminal, the original task is used for data acquisition of the terminal, the original task at least comprises a first data acquisition area, a first data acquisition quantity and first data acquisition time, and each terminal comprises a terminal which is registered on the cloud platform; the cloud platform acquires first task response information sent by each terminal, wherein the first task response information comprises a first contribution degree of the terminal to the original task, and the first contribution degree comprises information determined by the terminal according to the first task information, the equipment perception capability of the terminal and an action plan of the terminal; and the cloud platform determines a first terminal corresponding to the maximum first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task. Then, the cloud platform sends first node notification information to each terminal, wherein the first node notification information includes information that the first terminal is a first node. Then, the cloud platform acquires second task response information sent by each remaining terminal, wherein the second task response information comprises a second contribution degree of each remaining terminal to a second remaining task, the second contribution degree comprises the remaining terminal determined according to second remaining task information, device perception capability of the remaining terminal and an action plan of the remaining terminal, the remaining terminal comprises a terminal which is registered on the cloud platform and is except for the first node, the second remaining task comprises the remaining task after the original task is processed through the first node, the cloud platform determines a second terminal corresponding to the largest second contribution degree as a second node according to each second contribution degree, and the second node comprises a second terminal node for executing the original task; and then, the cloud platform sends second node notification information to the remaining terminals, wherein the second node notification information comprises information that the second terminal is a second node. By analogy, according to the contribution degree, the third terminal is determined to be the third node, the fourth terminal is determined to be the fourth node, and the nth terminal is determined to be the tail node, that is, the determined first node, the determined second node and the nth node can complete the original task of the cloud platform.
In this embodiment, the cloud platform sends a data acquisition request message to the first terminal, where the data acquisition request message is used to request a data acquisition message; the cloud platform acquires data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, and all the nodes comprise nodes which are determined according to original tasks of the cloud platform and used for acquiring data. When the terminal collects data, the equipment information and the current position information of the terminal are not sent to the cloud platform, so that the personal information of the terminal is prevented from being leaked, and the safety of the terminal is improved.
On the basis of the above embodiment, before the cloud platform sends the data acquisition request message to the first terminal, the method further includes:
the cloud platform sends first task information to each terminal, wherein the first task information comprises information of an original task which is requested by the cloud platform to be prepared to be executed by the terminal, the original task is used for data acquisition of the terminal, the original task at least comprises a first data acquisition area, a first data acquisition quantity and first data acquisition time, and each terminal comprises a terminal which is registered on the cloud platform;
the cloud platform acquires first task response information sent by each terminal, wherein the first task response information comprises a first contribution degree of the terminal to the original task, and the first contribution degree comprises information determined by the terminal according to the first task information, the equipment perception capability of the terminal and an action plan of the terminal;
and the cloud platform determines a first terminal corresponding to the maximum first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task.
Further, on the basis of the foregoing embodiment, after the cloud platform determines, according to the first contribution degree, that the first terminal corresponding to the maximum first contribution degree is the first node, the method further includes:
the cloud platform sends first node notification information to each terminal, wherein the first node notification information comprises information that the first terminal is a first node.
Further, on the basis of the above embodiment, after the cloud platform sends the first node notification information to each of the terminals, the method further includes:
the cloud platform acquires N task response information sent by each residual terminal, wherein the N task response information comprises N contribution degrees of each residual terminal to the N residual task, the N contribution degrees comprise the terminals determined by the residual terminals according to the N residual task information, the equipment perception capability of the residual terminals and the action plans of the residual terminals, the residual terminals comprise the first nodes which are registered on the cloud platform and the terminals which sequentially reach the (N-1) th node, the N residual task comprises the residual tasks which are processed by the first nodes and the (N-1) th node sequentially, and N is an integer greater than 1;
the cloud platform determines an Nth terminal corresponding to the largest Nth contribution degree as an Nth node according to the Nth contribution degrees, wherein the Nth node comprises an Nth terminal node for executing the original task;
and the cloud platform sends Nth node informing information to the remaining terminals, wherein the Nth node informing information comprises information that the Nth terminal is the Nth node.
On the basis of the above embodiment, after the cloud platform sends the data acquisition request message to the first terminal, the method further includes:
the cloud platform determines that the Mth terminal cannot report data to the cloud platform, the data comprises data collected according to the original task, and M is an integer smaller than N;
the cloud platform sends skip sampling information to the (M-1) th terminal so that the (M-1) th terminal informs the (M +1) th terminal of performing data acquisition according to the (M-1) th remaining task sent by the (M-1) th terminal, wherein the (M-1) th remaining task comprises the first terminal and the remaining tasks after the (M-1) th terminal processes the original task.
Fig. 2 is a schematic flow chart of a second embodiment of the crowd sensing method of the present invention, and as shown in fig. 2, the crowd sensing method provided by the present invention includes:
In this embodiment, the data collection request message is used to request a data collection message.
In this embodiment, the data collection request response message sequentially includes a message of data collected by a terminal of each node, each node includes a node for collecting data determined according to an original task of the cloud platform, and the terminal includes a terminal at a tail node.
In this embodiment, a terminal acquires a data acquisition request message, where the data acquisition request message is used to request a data acquisition message; the terminal sends a data acquisition request response message to the cloud platform, the data acquisition request response message sequentially comprises data information acquired by the terminal of each node, each node comprises a node which is determined according to an original task of the cloud platform and is used for acquiring data, and the terminal comprises a terminal at a tail node. When the terminal collects data, the equipment information and the current position information of the terminal are not sent to the cloud platform, so that the personal information of the terminal is prevented from being leaked, and the safety of the terminal is improved.
Further, on the basis of the above embodiment, before the terminal acquires the data acquisition request message, the method further includes:
the terminal receives first node notification information sent by the cloud platform, wherein the first node notification information comprises information that the first terminal is a first node.
Further, on the basis of the foregoing embodiment, after the terminal receives the first node notification information sent by the cloud platform, the method further includes:
the terminal sends Nth task response information to the cloud platform, the Nth task response information comprises the Nth contribution degree of each residual terminal to the Nth residual task, the Nth contribution degree comprises the N contribution degree of the residual terminal determined according to the Nth residual task information, the equipment perception capability of the residual terminal and the action plan of the residual terminal, the residual terminal comprises the first terminal and the terminal which sequentially reaches the (N-1) th terminal which are registered on the cloud platform, the Nth residual task comprises the residual task which passes through the first terminal and sequentially reaches the (N-1) th terminal after the original task is processed by the (N-1) th terminal, and N is an integer greater than 1;
the terminal receives Nth node notification information sent by the cloud platform, wherein the Nth node notification information comprises information that the Nth terminal is the Nth node.
Fig. 3 is a schematic flow chart of a third embodiment of the crowd sensing method of the present invention, and as shown in fig. 3, the crowd sensing method provided by the present invention includes:
In this embodiment, the first task information includes information of an original task that the cloud platform requests the terminal to execute, where the original task includes at least a first data acquisition area, a first data acquisition number, and first data acquisition time.
And step 303, each terminal sends the first contribution degree to the cloud platform.
Specifically, if it is determined that the original task is completed, the process is ended.
If it is determined that the original task is not complete, step 306 is performed.
And step 306, the cloud platform acquires the nth task response information sent by each remaining terminal.
In this embodiment, the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, where the nth contribution degree includes that the remaining terminal determines according to nth remaining task information, device awareness of the remaining terminal, and an action plan of the remaining terminal, the remaining terminal includes a terminal registered on the cloud platform except for the first node and up to the (N-1) th node, the nth remaining task includes a remaining task after processing the original task by the first node and up to the (N-1) th node, and N is an integer greater than 1;
and 307, the cloud platform determines the nth terminal corresponding to the maximum nth contribution degree as the nth node according to the nth contribution degrees.
In this embodiment, the nth node includes an nth terminal node that executes the original task;
and 308, the cloud platform sends notification information of the Nth node to the rest terminals.
In this embodiment, the nth node notification message includes information that the nth terminal is the nth node.
Specifically, the maximum contributor calculates the remaining task requirements according to the collected action route with the perception capability and the task requirements, and sends the remaining task requirements to other terminals; then, after receiving the information sent by the maximum contributor, the terminal recalculates the contribution of the terminal to the task completion degree according to the residual task requirements, the equipment perception capability and the action plan of the terminal in the information, and sends the contribution to the cloud platform; then, the cloud platform selects the largest contributor in the current round, and sends the IP of the largest contributor in the current round to all terminals (except the terminal selected as the largest contributor in the past), it should be noted that all the terminals selected as the largest contributors are the selected terminals, and the cloud platform allocates new random IPs to all the selected terminals, and sends node labels (the first point, the nth node, and the tail node) corresponding to each terminal. When step 308 ends, it may return to step 305 to determine whether the original task has been completed, if so, the flow ends, if not, the flow returns to step 306, continues to execute step 306 to step 308, and continues to return to step 305 after step 308 ends.
It should be noted that the contribution of each terminal is implemented at each terminal, no system resource is consumed, and the calculation amount of each round of terminal selection is small, and only a small amount of power is consumed by the terminal.
Fig. 4 is a schematic flow chart of a fourth embodiment of the crowd sensing method of the present invention, as shown in fig. 4, the crowd sensing method provided by the present invention includes:
In this embodiment, the data collection request message is used to request a data collection message.
In this embodiment, the data includes data collected according to the original task, and M is an integer smaller than N.
Specifically, after the time limited by the task requirement is over, the cloud platform starts a timer, and when the task message is not received before the timer is overtime, the cloud platform notifies the node which should transmit the data to transmit the data, resets the timer, and when the overtime frequency of the timer reaches the limited frequency.
In this embodiment, the (M-1) th remaining task includes a remaining task after the original task is processed by the first terminal and until the (M-1) th terminal.
Specifically, the first node calculates the current task completion degree through the client, sends the task completion degree to the cloud platform, and sends task data to the child node, namely the second node, after receiving the message of the parent node, the child node calculates and stores the task completion degree of the data sent by the parent node, inserts the data of the child node into the summarized data, calculates and stores a new task completion degree, and finally sends the parent node and the new task completion degree to the cloud platform, and sends the task data to the child node;
and step 404, the cloud platform acquires a data acquisition request response message sent by a terminal of the tail node.
In this embodiment, the data collection request response message sequentially includes a message of data collected by a terminal of each node, and each node includes a node for collecting data determined according to an original task of the cloud platform.
Fig. 5 is a schematic structural diagram of an embodiment of the crowd sensing apparatus according to the present invention, and as shown in fig. 5, the crowd sensing apparatus according to the present invention includes: a sending module 51 and an obtaining module 52. Wherein the content of the first and second substances,
a sending module 51, configured to send a data acquisition request message to a first terminal, where the data acquisition request message is used to request a data acquisition message;
the obtaining module 52 is configured to obtain a data acquisition request response message sent by a terminal of a tail node, where the data acquisition request response message sequentially includes a data information acquired by the terminal of each node, each node includes a node for acquiring data determined according to an original task of the cloud platform, and the tail node includes a last node for acquiring data determined according to the original task of the cloud platform.
In this embodiment, the cloud platform sends a data acquisition request message to the first terminal, where the data acquisition request message is used to request a data acquisition message; the cloud platform acquires data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, and all the nodes comprise nodes which are determined according to original tasks of the cloud platform and used for acquiring data. When the terminal collects data, the equipment information and the current position information of the terminal are not sent to the cloud platform, so that the personal information of the terminal is prevented from being leaked, and the safety of the terminal is improved.
Fig. 6 is a schematic structural diagram of a second embodiment of the crowd sensing apparatus according to the present invention, as shown in fig. 6, the crowd sensing apparatus according to the present invention may further include: a determination module 53;
the sending module 51 is further configured to send first task information to each terminal, where the first task information includes information of an original task that the cloud platform requests the terminal to prepare for execution, the original task is used for the terminal to perform data acquisition, the original task at least includes a first data acquisition area, a first data acquisition number, and a first data acquisition time, and each terminal includes a terminal registered on the cloud platform;
the obtaining module 52 is further configured to obtain first task response information sent by each terminal, where the first task response information includes a first contribution degree of the terminal to the original task, and the first contribution degree includes a value determined by the terminal according to the first task information, the device sensing capability of the terminal, and an action plan of the terminal;
the determining module 53 is configured to determine, according to each first contribution degree, that a first terminal corresponding to the largest first contribution degree is a first node, where the first node includes a first terminal node that executes the original task.
On the basis of the foregoing embodiment, the sending module 51 is further configured to send first node notification information to each terminal, where the first node notification information includes information that the first terminal is a first node.
Further, on the basis of the foregoing embodiment, the obtaining module 52 is further configured to obtain nth task response information sent by each remaining terminal, where the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, the nth contribution degree includes that the remaining terminal determines according to nth remaining task information, device sensing capabilities of the remaining terminals, and action plans of the remaining terminals, the remaining terminals include terminals that are registered on the cloud platform except for the first node and sequentially reach the (N-1) th node, the nth remaining task includes a remaining task that passes through the first node and sequentially reaches the (N-1) th node after the original task is processed, and N is an integer greater than 1;
the determining module 53 is further configured to determine, according to each nth contribution degree, that an nth terminal corresponding to the nth contribution degree which is the largest is an nth node, where the nth node includes an nth terminal node for executing the original task;
the sending module 51 is further configured to send nth node notification information to the remaining terminals, where the nth node notification information includes information that the nth terminal is an nth node.
Further, on the basis of the above embodiment, the determining module 53 is further configured to determine that the mth terminal cannot report data to the cloud platform, where the data includes data acquired according to the original task, and M is an integer smaller than N;
the sending module 51 is further configured to send skip sampling information to the (M-1) th terminal, so that the (M-1) th terminal notifies the (M +1) th terminal to perform data acquisition according to the (M-1) th remaining task sent by the (M-1) th terminal, where the (M-1) th remaining task includes a task that passes through the first terminal and a task that remains after the (M-1) th terminal processes the original task.
In the embodiment, the terminal does not send the equipment information and the current position information of the terminal to the cloud platform while acquiring data, so that the leakage of personal information of the terminal is avoided, and the safety of the terminal is improved.
Fig. 7 is a schematic structural diagram of three embodiments of the crowd sensing apparatus according to the present invention, as shown in fig. 7, the crowd sensing apparatus according to the present invention includes: an acquisition module 71 and a sending module 72. Wherein the content of the first and second substances,
an obtaining module 71, configured to obtain a data acquisition request message, where the data acquisition request message is used to request a data acquisition message;
a sending module 72, configured to send a data acquisition request response message to the cloud platform, where the data acquisition request response message sequentially includes a message of data acquired by a terminal of each node, where each node includes a node determined according to an original task of the cloud platform and used for acquiring data, the terminal includes a terminal at a tail node, and the tail node includes a last node determined according to the original task of the cloud platform and used for acquiring data.
In this embodiment, a terminal acquires a data acquisition request message, where the data acquisition request message is used to request a data acquisition message; the terminal sends a data acquisition request response message to the cloud platform, the data acquisition request response message sequentially comprises data information acquired by the terminal of each node, each node comprises a node which is determined according to an original task of the cloud platform and is used for acquiring data, and the terminal comprises a terminal at a tail node. When the terminal collects data, the equipment information and the current position information of the terminal are not sent to the cloud platform, so that the personal information of the terminal is prevented from being leaked, and the safety of the terminal is improved.
On the basis of the foregoing embodiment, the obtaining module 71 is further configured to receive first node notification information sent by the cloud platform, where the first node notification information includes information that the first terminal is a first node.
Further, on the basis of the foregoing embodiment, the sending module 72 is further configured to send nth task response information to the cloud platform, where the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, the nth contribution degree includes that the remaining terminal determines according to nth remaining task information, device sensing capabilities of the remaining terminals, and action plans of the remaining terminals, the remaining terminals include terminals that are registered on the cloud platform except the first terminal and sequentially reach the (N-1) th terminal, the nth remaining task includes a remaining task that passes through the first terminal and sequentially reaches the (N-1) th terminal after the original task is processed by the (N-1) th terminal, and N is an integer greater than 1;
the obtaining module 71 is further configured to receive an nth node notification message sent by the cloud platform, where the nth node notification message includes information that the nth terminal is an nth node.
In the embodiment, the terminal does not send the equipment information and the current position information of the terminal to the cloud platform while acquiring data, so that the leakage of personal information of the terminal is avoided, and the safety of the terminal is improved.
Fig. 8 is a schematic diagram of a homepage of an embodiment of the crowd sensing device according to the present invention, as shown in fig. 8, the homepage of the device includes: the location of the user name and password, the login or registration button, and the home page button, the task button and the data button are input, the default page can be accessed by clicking the home page button, and the participants who do not log in need to register and log in on the default page firstly.
Fig. 9 is a schematic view of a message page according to an embodiment of the crowd sensing apparatus of the present invention, as shown in fig. 9, after logging in through a homepage, a default page is a message page, where the message includes a task message, a data message, a server message, and the like, where:
(1) the task message is mainly a data collection task pushed by the cloud platform, and the participants can click a view button to view the details of the task and choose to accept or ignore the task. If the participant selects to receive the task, after clicking an acceptance button corresponding to the task message, jumping to a task setting page and newly building a task; if the participant ignores the task, clicking the ignore button deletes the task message.
(2) The data message is a message of transmitting the task data by the father node, and after a processing button corresponding to the message is clicked, the data message jumps to a data transmission detail page.
(3) The server message is a node change message, clicking a corresponding processing button jumps to a task transmission detail page and automatically modifies a node IP, and a participant needs to resend data to a new child node.
Fig. 10 is a schematic diagram of a task page according to an embodiment of the crowd sensing apparatus of the present invention, and fig. 11 is a schematic diagram of a task page according to a second embodiment of the crowd sensing apparatus of the present invention, as shown in fig. 10 and fig. 11, a task page can be opened by clicking a task button in fig. 8, the page defaults to a task list, lists all tasks received by a terminal, and can check details of settings of the tasks by clicking a setting button corresponding to the tasks:
(1) if the data message is clicked and then the data message is processed and then the data message is skipped, or the data message is not sent to the cloud platform, three buttons of canceling, storing and submitting are arranged below the task setting details, a participant needs to draw own action route and time in a map, then the previous modification can be cancelled by clicking the canceling, the data message can be stored and returned to a task page after clicking the data message is stored, the relevant information is calculated and sent to the cloud platform after clicking the submitting, and the participant can be selected by the cloud platform through the communication between a background and a client;
(2) if a message has been sent to the cloud platform, the existing task is viewed by clicking on the task settings button, which will be displayed as "OK" below the task settings details, and simply exiting the task settings details and returning to the task page.
When the participant is selected, the start button corresponding to the task becomes a variable point, and data collection can be started according to the task setting by clicking the start button. After the start button is clicked, the button is changed into a 'stop' button, and the task can be stopped by clicking the stop button; if the participant is not selected, the task is automatically deleted.
Fig. 12 is a schematic diagram of a data page according to an embodiment of the crowd sensing apparatus of the present invention, as shown in fig. 12, clicking a data button shown in fig. 8 may open the data page, defaulting the page to a task list shown in fig. 10, may list all tasks accepted by a participant, clicking a view button corresponding to a task may view data details of the task, and a determination button may be provided below the task details, and clicking the determination button may exit the task details and return to the data page
Clicking a processing button corresponding to a task to display task transmission details as shown in fig. 12, displaying node marks (a first node, a middle node and a tail node) and the IP of a child node under the task transmission details, and then having a sending button, if data acquisition of the task is finished, the first node needs to click the sending button to send task completion degree information to a cloud platform and send data to the child node; the intermediate node receives the father node message and then activates a sending button, triggers the sending button to send task completion degree information to the cloud platform, and sends data to the child node; and after receiving the father node message, the tail node activates the sending button, and triggers the sending button to send the task completion degree information and the data to the cloud platform.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (14)
1. A method for crowd sensing, comprising:
the method comprises the steps that a cloud platform sends a data acquisition request message to a first terminal, wherein the data acquisition request message is used for requesting data acquisition;
the cloud platform acquires data acquisition request response messages sent by terminals of tail nodes, wherein the data acquisition request response messages sequentially comprise data information acquired by the terminals of all the nodes, all the nodes comprise nodes which are determined according to original tasks of the cloud platform and are used for acquiring data, and the tail nodes comprise the last node which is determined according to the original tasks of the cloud platform and is used for acquiring data;
before the cloud platform sends the data acquisition request message to the first terminal, the method further comprises the following steps:
the cloud platform sends first task information to each terminal, wherein the first task information comprises information of an original task which is requested by the cloud platform to be prepared to be executed by the terminal, the original task is used for data acquisition of the terminal, the original task at least comprises a first data acquisition area, a first data acquisition quantity and first data acquisition time, and each terminal comprises a terminal which is registered on the cloud platform;
the cloud platform acquires first task response information sent by each terminal, wherein the first task response information comprises a first contribution degree of the terminal to the original task, and the first contribution degree comprises information determined by the terminal according to the first task information, the equipment perception capability of the terminal and an action plan of the terminal;
and the cloud platform determines a first terminal corresponding to the maximum first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task.
2. The method according to claim 1, wherein after the cloud platform determines, according to the first contribution degree, that the first terminal corresponding to the maximum first contribution degree is the first node, the method further includes:
the cloud platform sends first node notification information to each terminal, wherein the first node notification information comprises information that the first terminal is a first node.
3. The method according to claim 2, wherein after the cloud platform sends the first node notification information to each of the terminals, the method further comprises:
the cloud platform acquires N task response information sent by each residual terminal, wherein the N task response information comprises N contribution degrees of each residual terminal to the N residual task, the N contribution degrees comprise terminals which are determined by the residual terminals according to the N residual task information, the equipment perception capability of the residual terminals and action plans of the residual terminals, the residual terminals comprise terminals which are registered on the cloud platform, except the first node and sequentially reach an N-1 node, the N residual task comprises residual tasks which are processed by the first node and sequentially reach the N-1 node on the original task, and N is an integer greater than 1;
the cloud platform determines an Nth terminal corresponding to the largest Nth contribution degree as an Nth node according to the Nth contribution degrees, wherein the Nth node comprises an Nth terminal node for executing the original task;
and the cloud platform sends Nth node informing information to the remaining terminals, wherein the Nth node informing information comprises information that the Nth terminal is the Nth node.
4. The method according to any one of claims 1 to 3, wherein after the cloud platform sends the data collection request message to the first terminal, the method further comprises:
the cloud platform determines that the Mth terminal cannot report data to the cloud platform, the data comprises data collected according to the original task, and M is an integer smaller than N;
the cloud platform sends skip sampling information to an M-1 terminal, so that the M-1 terminal informs an M +1 terminal to carry out data acquisition according to an M-1 remaining task sent by the M-1 terminal, wherein the M-1 remaining task comprises a remaining task after the original task is processed by the M-1 terminal through the first terminal.
5. A method for crowd sensing, comprising:
a terminal acquires a data acquisition request message, wherein the data acquisition request message is used for requesting a data acquisition message;
the terminal sends a data acquisition request response message to the cloud platform, wherein the data acquisition request response message sequentially comprises data information acquired by the terminal of each node, each node comprises a node which is determined according to an original task of the cloud platform and is used for acquiring data, the terminal comprises a terminal at a tail node, and the tail node comprises a last node which is determined according to the original task of the cloud platform and is used for acquiring data;
before the terminal acquires the data acquisition request message, the method further comprises the following steps:
the method comprises the steps that a terminal acquires first task information, wherein the first task information comprises information of an original task which is requested by a cloud platform to be prepared to be executed by the terminal, the original task is used for data acquisition of the terminal, the original task at least comprises a first data acquisition area, a first data acquisition quantity and a first data acquisition time, and each terminal comprises a terminal which is registered on the cloud platform;
the cloud platform acquires first task response information sent by each terminal, wherein the first task response information comprises a first contribution degree of the terminal to the original task, and the first contribution degree comprises information determined by the terminal according to the first task information, the equipment perception capability of the terminal and an action plan of the terminal;
and the cloud platform determines a first terminal corresponding to the maximum first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task.
6. The method according to claim 5, wherein before the terminal acquires the data collection request message, the method further comprises:
the terminal receives first node notification information sent by the cloud platform, wherein the first node notification information comprises information that the first terminal is a first node.
7. The method according to claim 6, wherein after the terminal receives the first node notification information sent by the cloud platform, the method further comprises:
the terminal sends Nth task response information to the cloud platform, the Nth task response information comprises the Nth contribution degree of each residual terminal to the Nth residual task, the Nth contribution degree comprises the N contribution degree of the residual terminal determined according to the Nth residual task information, the equipment perception capability of the residual terminal and the action plan of the residual terminal, the residual terminal comprises terminals which are registered on the cloud platform, except the first terminal and sequentially reach an N-1 terminal, the Nth residual task comprises the residual tasks which pass through the first terminal and sequentially reach the N-1 terminal after the original task is processed, and N is an integer larger than 1;
the terminal receives Nth node notification information sent by the cloud platform, wherein the Nth node notification information comprises information that the Nth terminal is the Nth node.
8. A crowd sensing apparatus, comprising:
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for sending a data acquisition request message to a first terminal, and the data acquisition request message is used for requesting data acquisition;
the system comprises an acquisition module, a data acquisition module and a data processing module, wherein the acquisition module is used for acquiring data acquisition request response messages sent by terminals of tail nodes, the data acquisition request response messages sequentially comprise data information acquired by the terminals of all nodes, all the nodes comprise nodes which are determined according to original tasks of the cloud platform and are used for acquiring data, and the tail nodes comprise the last node which is determined according to the original tasks of the cloud platform and is used for acquiring data;
the sending module is further configured to send first task information to each terminal, where the first task information includes information of an original task that the cloud platform requests the terminal to prepare for execution, the original task is used for the terminal to perform data acquisition, the original task at least includes a first data acquisition area, a first data acquisition number, and first data acquisition time, and each terminal includes a terminal registered on the cloud platform;
the obtaining module is further configured to obtain first task response information sent by each terminal, where the first task response information includes a first contribution degree of the terminal to the original task, and the first contribution degree includes a value determined by the terminal according to the first task information, a device sensing capability of the terminal, and an action plan of the terminal;
and the determining module is used for determining a first terminal corresponding to the largest first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task.
9. The apparatus of claim 8, wherein the sending module is further configured to send a first node notification message to each of the terminals, where the first node notification message includes information that the first terminal is a first node.
10. The apparatus according to claim 9, wherein the obtaining module is further configured to obtain nth task response information sent by each remaining terminal, where the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, where the nth contribution degree includes that the remaining terminal determines according to nth remaining task information, device sensing capabilities of the remaining terminals, and action plans of the remaining terminals, the remaining terminals include terminals that are registered on the cloud platform, except for the first node, and sequentially reach an N-1 th node, the nth remaining task includes a remaining task after processing the original task by the first node and sequentially until the N-1 th node, where N is an integer greater than 1;
the determining module is further configured to determine, according to each nth contribution degree, an nth terminal corresponding to the nth contribution degree which is the largest as an nth node, where the nth node includes an nth terminal node for executing the original task;
the sending module is further configured to send nth node notification information to the remaining terminals, where the nth node notification information includes information that the nth terminal is an nth node.
11. The apparatus according to any one of claims 8 to 10, wherein the determining module is further configured to determine that an mth terminal cannot report data to the cloud platform, where the data includes data collected according to the original task, and M is an integer smaller than N;
the sending module is further configured to send skip sampling information to an M-1 th terminal, so that the M-1 th terminal notifies an M +1 th terminal to perform data acquisition according to an M-1 th remaining task sent by the M-1 th terminal, where the M-1 th remaining task includes a remaining task after the M-1 th terminal processes the original task and passes through the first terminal.
12. A crowd sensing apparatus, comprising:
the acquisition module is used for acquiring a data acquisition request message, wherein the data acquisition request message is used for requesting a data acquisition message;
a sending module, configured to send a data acquisition request response message to the cloud platform, where the data acquisition request response message sequentially includes a message of data acquired by a terminal of each node, where each node includes a node determined according to an original task of the cloud platform and used for acquiring data, the terminal includes a terminal at a tail node, and the tail node includes a last node determined according to the original task of the cloud platform and used for acquiring data;
the sending module is further configured to send first task information to each terminal, where the first task information includes information of an original task that the cloud platform requests the terminal to prepare for execution, the original task is used for the terminal to perform data acquisition, the original task at least includes a first data acquisition area, a first data acquisition number, and first data acquisition time, and each terminal includes a terminal registered on the cloud platform;
the obtaining module is further configured to obtain first task response information sent by each terminal, where the first task response information includes a first contribution degree of the terminal to the original task, and the first contribution degree includes a value determined by the terminal according to the first task information, a device sensing capability of the terminal, and an action plan of the terminal;
and the determining module is used for determining a first terminal corresponding to the largest first contribution degree as a first node according to each first contribution degree, wherein the first node comprises a first terminal node for executing the original task.
13. The apparatus according to claim 12, wherein the obtaining module is further configured to receive first node notification information sent by the cloud platform, where the first node notification information includes information that the first terminal is a first node.
14. The apparatus according to claim 13, wherein the sending module is further configured to send nth task response information to the cloud platform, where the nth task response information includes an nth contribution degree of each remaining terminal to an nth remaining task, where the nth contribution degree includes a value determined by the remaining terminal according to nth remaining task information, device awareness of the remaining terminals, and action plans of the remaining terminals, the remaining terminals include terminals registered on the cloud platform except the first terminal and sequentially up to an N-1 th terminal, the nth remaining task includes a value passing through the first terminal and sequentially up to the N-1 th terminal for remaining tasks after the original task is processed by the N-1 th terminal, and N is an integer greater than 1;
the acquisition module is further configured to receive nth node notification information sent by the cloud platform, where the nth node notification information includes information that the nth terminal is an nth node.
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| PCT/CN2016/085486 WO2016197982A1 (en) | 2015-12-25 | 2016-06-12 | Crowd sensing method and apparatus |
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| CN112907340B (en) * | 2021-02-03 | 2023-12-01 | 西安电子科技大学 | Excitation method and system based on two-way auction model in crowd sensing |
| CN117151914B (en) * | 2023-11-01 | 2024-01-30 | 中国人民解放军国防科技大学 | Crowd sensing user selection method and device based on comprehensive influence evaluation |
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